These slides were made using R Studio Presentation (ioslides).

The Web application can be found at the URL: https://chris-fr-github.shinyapps.io/DevDataPrd-Week4-ShinyWebApp/

Source code is at GitHub for the application and presentation at the URL: https://github.com/chris-FR-GitHub/Coursera-Johns-Hopkins/tree/master/09-Developing-Data-Products/Week4

The data used for this application is cars from the datasets package.
This dataset contains 50 records of 2 features.
The data give the speed of cars and the distances taken to stop then (the data in from the 1920s).

head(cars)

##   speed dist
## 1     4    2
## 2     4   10
## 3     7    4
## 4     7   22
## 5     8   16
## 6     9   10

The web application calculates linear / polynomial regression of the 2 features.

The users can pick if he wants :
- speed~dist or dist~speed
- a linear regression or a polynomial regression (up to 5 degrees)
- a value (the preticted value will be displayed).

The plot uses plotly.
The numeric input field is dynamic and the max value depends of the formula.

Formula : dist~speed - 2 degree polynomial, value = 15

Predicted value for 15 : 38.7